Evidence map›Paper›PMID 33315867›Full record

ArticlePloS one2020

Ultra-high resolution, 3-dimensional magnetic resonance imaging of the atherosclerotic vessel wall at clinical 7T.

Martin J Willemink, Bram F Coolen, Hadrien Dyvorne, Philip M Robson, Ilda Bander, Seigo Ishino, Alison Pruzan, Arthi Sridhar, Bei Zhang, Priti Balchandani and 7 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Martin J WilleminkDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-6991-6557
Bram F CoolenDepartment of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-3946-653X
Hadrien DyvorneBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Philip M RobsonBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Ilda BanderBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Seigo IshinoBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Alison PruzanBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Arthi SridharBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Bei ZhangBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Priti BalchandaniBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Venkatesh ManiBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0002-0432-2918
Gustav J StrijkersDepartment of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-6700-5058
Aart J NederveenDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Tim LeinerDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Zahi A FayadBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Willem J M MulderBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Claudia CalcagnoBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Icahn School of Medicine at Mount Sinai · USAmsterdam University Medical Centers · NLUniversity Medical Center Utrecht · NLUniversity of Amsterdam · NL

Funding

Translational imaging and nanomedicine in inflammatory atherosclerosisP01HL131478 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Zahi A. Fayad · 2017 to 2026
$24.3M
MR/PET Imaging of coronary atherosclerosisR01HL071021 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FAYAD, ZAHI A. · 2002 to 2019
$7.8M
Theranostic HDL nanoparticles for inflammatory macrophages in atherosclerosisR01EB009638 · NIBIB · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FAYAD, ZAHI A. · 2009 to 2016
$4.6M
Ga68-DOTATATE PET imaging of plaque inflammationR01HL135878 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FAYAD, ZAHI A. · 2017 to 2020
$2.9M
Cardiovascular Inflammation Reduction Trial (CIRT) - Inflammation Imaging StudyR01HL128056 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FAYAD, ZAHI A. · 2015 to 2018
$2.6M
PET/MRI to study nanotherapy in atherosclerosisR01HL125703 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MULDER, WILLEM · 2015 to 2018
$2.4M
7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base TumorsR01CA202911 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2016 to 2020
$2.1M
NCI NIH HHS R01 CA202911NHLBI NIH HHS P01 HL131478NHLBI NIH HHS R01 HL071021NHLBI NIH HHS R01 HL125703NHLBI NIH HHS R01 HL128056NHLBI NIH HHS R01 HL135878NIBIB NIH HHS R01 EB009638
6 · The paper itself

Abstract

Accurate quantification and characterization of atherosclerotic plaques with MRI requires high spatial resolution acquisitions with excellent image quality. The intrinsically better signal-to-noise ratio (SNR) at high-field clinical 7T compared to the widely employed lower field strengths of 1.5 and 3T may yield significant improvements to vascular MRI. However, 7T atherosclerosis imaging also presents specific challenges, related to local transmit coils and B1 field inhomogeneities, which may overshadow these theoretical gains. We present the development and evaluation of 3D, black-blood, ultra-high resolution vascular MRI on clinical high-field 7T in comparison lower-field 3T. These protocols were applied for in vivo imaging of atherosclerotic rabbits, which are often used for development, testing, and validation of translatable cardiovascular MR protocols. Eight atherosclerotic New Zealand White rabbits were imaged on clinical 7T and 3T MRI scanners using 3D, isotropic, high (0.63 mm3) and ultra-high (0.43 mm3) spatial resolution, black-blood MR sequences with extensive spatial coverage. Following imaging, rabbits were sacrificed for validation using fluorescence imaging and histology. Image quality parameters such as SNR and contrast-to-noise ratio (CNR), as well as morphological and functional plaque measurements (plaque area and permeability) were evaluated at both field strengths. Using the same or comparable imaging parameters, SNR and CNR were in general higher at 7T compared to 3T, with a median (interquartiles) SNR gain of +40.3 (35.3-80.1)%, and a median CNR gain of +68.1 (38.5-95.2)%. Morphological and functional parameters, such as vessel wall area and permeability, were reliably acquired at 7T and correlated significantly with corresponding, widely validated 3T vessel wall MRI measurements. In conclusion, we successfully developed 3D, black-blood, ultra-high spatial resolution vessel wall MRI protocols on a 7T clinical scanner. 7T imaging was in general superior to 3T with respect to image quality, and comparable in terms of plaque area and permeability measurements.

Indexed as

AnimalsAorta, AbdominalAtherosclerosisDiet, High-FatDisease Models, AnimalFeasibility StudiesHumansImaging, Three-DimensionalMagnetic Resonance AngiographyMalePlaque, AtheroscleroticRabbitsReproducibility of ResultsSignal-To-Noise Ratio

Identifiers

PMID33315867
PMCPMC7735577
OpenAlexW3110694462

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.